Modelling Mass Casualty Decontamination Systems Informed by Field Exercise Data
- Joseph Egan; Richard AmlĂ´t
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This article is about creating models for decontaminating large groups of people after a disaster. It describes how these models are based on real-life exercises to make them more effective. The goal is to improve the way emergency teams handle situations where many people need cleaning from harmful substances quickly and safely. By using data from field exercises, the models can help plan better responses and save lives during actual emergencies. The research aims to ensure that emergency services are well-prepared for mass casualty events involving dangerous chemicals or materials.
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